Methods for optimizing the profitability of data publishing based on monetary cost-benefit analyses

Data transformation with generalization, suppression, microaggregation and top/bottom-coding as well as global and local recoding

Methods for analyzing data utility

Methods for analyzing re-identification risks

The software is able to handle very large datasets on commodity hardware and it features an intuitive cross-platform graphical user interface. You can find further information here, or directly proceed to our downloads section.

Anonymization Tool

ARX comes with a fully featured cross-platform graphical tool, which supports data import and cleansing, wizards for creating transformation rules, intuitive ways for tailoring the anonymized dataset to your requirements and visualizations of data utility and re-identification risks. Learn more

API

ARX is also available as a fully featured software library with a clean API that delivers data anonymization capabilities to any Java program. The underlying principles, methods, algorithms and data structures have been published in peer-reviewed journals and conference proceedings. Learn more

Holistic Approach

ARX is not just a tool box, but a fully featured application. All methods have been carefully chosen and tightly integrated with each other. ARX provides compatibility with SQL databases, MS Excel and CSV files. Moreover, it supports data cleansing and can handle incomplete and invalid data. Learn more